Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ihabkhaled/AI-Psychiatry --skill targeted-testinggit clone --depth 1 https://github.com/ihabkhaled/AI-PsychiatryWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ihabkhaled/ai-psychiatry/targeted-testing)<a href="https://agentmods.dev/skills/ihabkhaled/ai-psychiatry/targeted-testing"><img src="https://agentmods.dev/badge/skills/ihabkhaled/ai-psychiatry/targeted-testing/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ihabkhaled/ai-psychiatry/targeted-testing"><img src="https://agentmods.dev/badge/skills/ihabkhaled/ai-psychiatry/targeted-testing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00024 | $0.00216 |
| Opus 5 | $0.00012 | $0.00108 |
| Sonnet 5 | $0.00005 | $0.00043 |
| Haiku 4.5 | $0.00002 | $0.00022 |
Grade A, and why
targeted-testing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Targeted Testing
Core principle
Test from smallest relevant proof to required global gate; schedule quality intelligently without lowering it.
Procedure
- Map the change to its closest unit or focused test.
- Run the failing or targeted proof first.
- Expand to relevant integration and E2E only as risk requires.
- Run lint, typecheck, build, and repository gates at the appropriate checkpoint.
- Classify failures as introduced, pre-existing, environmental, flaky, or unknown.
- Record what each command proves.
Required output
Test sequence, results, failure classification, and remaining mandatory gate.
Limits
Do not rerun full suites after every small edit unless policy requires it.
Common mistakes
Do not skip security or regression gates, or run commands without knowing the evidence sought.
Stop condition
Stop when the current checkpoint has sufficient proof and continue to the next unmet requirement.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 37 lines · 24 tokens per session scan A 6291071ece8d
targeted-testing is a skill published in the GitHub repository ihabkhaled/AI-Psychiatry (3 stars, last pushed 25d ago), licensed MIT. It adds 24 tokens to every session and 216 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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